Xinhui Li

Albany

Summary

Enterprise Analytics Leader with 7+ years driving data strategy across merchandising, pricing, inventory, and planning within large-scale retail environments. Proven ability to translate executive business priorities into enterprise analytics roadmaps, modern BI ecosystems, and scalable decision-support platforms. Trusted partner to senior leaders, delivering data storytelling and performance insights that inform margin, sales, and inventory strategies. Experienced in mentoring technical teams, modernizing cloud architecture, and building reliable, high-impact analytics solutions.

Overview

years of professional experience

Work History

Specialist, Systems Developer

Bloomingdale’s

05.2022 - 12.2023

Expanded Scope & Enterprise Platform Ownership (Jan 2024 – Present)
Lead enterprise analytics platforms supporting merchandising, financial planning, pricing, and inventory functions, enabling executive and operational decision-making across the organization.
Serve as a strategic partner to merchandising and planning leadership, translating business objectives into enterprise analytics roadmaps, prioritization frameworks, and scalable data solutions.
Present analytics strategy updates and key performance insights to senior stakeholders, influencing pricing, margin, and inventory decisions.
Establish data validation and governance standards to ensure accuracy and reliability of executive reporting.
Standardize BI development practices across teams to improve scalability and reduce delivery timelines.
Enable sales forecasting and pricing strategy by providing analytics platforms that inform markdown depth, demand scenarios, and inventory positioning.
Designed and implemented a pricing optimization algorithm to improve markdown timing and margin realization, currently undergoing user validation to drive measurable improvements in sell-through and lifecycle profitability.
2 years of direct people leadership experience, mentoring and managing junior technical talent to support technical growth and delivery quality.
Recognized as a 2023 Best of the Best award recipient.
Enterprise Impact
Stabilized and enhanced enterprise planning platforms post cost-accounting conversion, ensuring financial metric integrity across systems, achieving near-zero disruptions during monthly planning cycles, and enabling reliable, on-time delivery of financial plans for executive decision-making.
Partnered with Inventory Strategy to optimize holiday transfer logic for cold-weather categories, improving service levels by X% and contributing to a Y% year-over-year increase in seasonal sales performance. (Can run query to check on missed opportunity 2025 vs 2024
And check with Christine on HAF holiday specific metrics)
Led analytics support for enterprise initiative to reduce dead replenishment inventory, driving a X% reduction in aged stock and improving inventory turn across impacted categories. (Pull sludge KPI)
Increased enterprise adoption of pricing optimization platform by improving recommendation transparency, refining user-controlled parameters, and reducing tool runtime, driving smarter pricing decisions and reduced manual intervention across buying teams. (Try querying task control or previous docs to add before v after rate as %)
V2 with numbers if they can be added: Improved pricing optimization tool adoption from X% to Y% by enhancing transparency and reducing runtime by X%, decreasing manual pricing overrides and improving pricing consistency across categories.

Systems Data Analyst

CommerceHub

Albany, NY

06.2018 - 05.2022

Contributed to the design and development of the new cloud data warehouse (specifically in AWS)
Led optimization and automation of data models, reports, and fact tables, achieving up to 83% reduction in processing time and 77% reduction in memory utilization
Conducted tool evaluations and proof-of-concepts to inform BI platform strategy
Recognized as a 2021 Internal All-Star Award winner for system-level improvements and cross-team impact
Business Intelligence Data Analyst (June 2019 to March 2021)
Partnered with Data Engineering to craft data infrastructure in the operational data store and the enterprise data warehouse to support BI needs
Partnered with cross-functional teams to design, build, and maintain external facing reports that meet product and user experience requirements using T-SQL, Visual Studio SSDT, and Power BI; coordinated the development, test/quality check, and release cycles
Formulated and maintained internal data models and reports for self-service reporting
Communicated and presented data findings and report functionalities to technical and business teams

Education

Bachelor of Science - Applied Mathematics

Rensselaer Polytechnic Institute (RPI)

05.2019

Skills

Analytics & BI Platforms: Power BI, Tableau, SSRS
Data Architecture & Cloud: GCP, AWS, Azure Analysis Services, SSAS

Programming & Query Languages: T-SQL, Python, R, VB

Websites

www.linkedin.com/in/xinhui-li-xli

Timeline